Bioinformatics and Mathematical Biology

Mathematics, statistics and computing provide the common language for the interdisciplinary research challenges of modern biology. Our expertise crosses traditional subject boundaries, across biological scales ranging from molecules to ecosystems. Links to YCCSA and joint appointments with Mathematics and Computer Science further bridge the gaps between disciplines.

Impact

The dynamics of biological networks provide a strong unifying theme, ranging from evolutionary, ecological and social scales to genomic, metabolic, and biochemical levels. The benefits to society are similarly diverse, combining short-term practicality with longer-term changes to understanding.

Examples of Bioinformatics and Mathematical Biology projects

New mathematics is unlocking the secrets of how viruses protect and replicate, and how they infect new cells. Our models capture the intricate interactions between RNA viral capsids, providing important insights into viral evolution, infection and assembly. Applications range from anti-viral drug design to bio-nanotechnology.

Our work ranges from theoretical studies of biochemical, cellular and ecological networks to more practical applications such as resilience of biodiversity and ecosystem function under climate challenges. For example, we are investigating the role of polydomy (having multiple nests) in colonies of ants in the National Trust properties in the Peak Distict National Park – does this feature make colonies more resilient to environmental change?

Professor Calvin Dytham: evolution of dispersal; theoretical and individual-based modelling; evolution in dynamic and structured habitats including range expansions and invasions; spread of human diseases; ageing and the evolution of “suicide genes”.

Dr Daniel Franks, Lecturer, joint appointment with Computer Science: computational models of ecology and evolution; network analysis, with a focus on animal association networks and network sampling; predator-prey interactions, with a focus on warning signals and mimicry. Based in YCCSA.